
Florian Zettelmeyer
· Nancy L. Ertle Professor of Marketing; Faculty Director, Program on Data Analytics at KelloggNorthwestern University · Management & Organizations
Active 1993–2026
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About
Florian Zettelmeyer is the Nancy L. Ertle Professor of Marketing at the Kellogg School of Management at Northwestern University. He specializes in evaluating the effects of analytics and artificial intelligence on firms, with research interests including marketing analytics, digital advertising, consumer search and uncertainty, industrial organization, pricing, and environmental economics. He is the founder and director of the Program on Data Analytics at Kellogg, where he leads efforts to advance understanding and application of data-driven insights in business. Professor Zettelmeyer received his PhD from the Massachusetts Institute of Technology and has held academic positions at the Haas School of Business at the University of California at Berkeley and the Simon Graduate School of Business Administration at the University of Rochester. He has been recognized with numerous teaching awards and was voted 'Outstanding Professor of the Year' by Kellogg MBA students. In addition to his academic role, he serves as the Chief Economist for Ads and Entertainment at Amazon, leading a team of over 100 economists, data scientists, and engineers to develop innovative ideas for Amazon's advertising and entertainment businesses.
Research topics
- Computer Science
- Business
- Marketing
- Advertising
- Data science
- World Wide Web
- Geography
- Finance
- Industrial organization
Selected publications
Are Consumers Myopic? Evidence from New and Used Car Purchases
American Economic Review · 2013-01-28 · 482 citations
articleOpen accessSenior authorWe investigate whether car buyers are myopic about future fuel costs. We estimate the effect of gasoline prices on short-run equilibrium prices of cars of different fuel economies. We then compare the implied changes in willingness-to-pay to the associated changes in expected future gasoline costs for cars of different fuel economies in order to calculate implicit discount rates. Using different assumptions about annual mileage, survival rates, and demand elasticities, we calculate a range of im…
Marketing Science · 2019-03-01 · 268 citations
articleObservational methods often fail to accurately recover the treatment effects generated from randomized advertising experiments on Facebook.
Information Disclosure as a Matching Mechanism: Theory and Evidence from a Field Experiment
American Economic Review · 2015-02-01 · 127 citations
articleSenior authorMarket outcomes depend on the quality of information available to its participants. We measure the effect of information disclosure on market outcomes using a large-scale field experiment that randomly discloses quality information in wholesale automobile auctions. We argue that buyers in this market are horizontally differentiated across cars that are vertically ranked by quality. This implies that information disclosure helps match heterogeneous buyers to cars of varying quality, causing both…
Close Enough? A Large-Scale Exploration of Non-Experimental Approaches to Advertising Measurement
Marketing Science · 2022 · 80 citations
Senior authorCorrespondingA large-scale comparison of experimental advertising effects and those obtained using two state-of-the-art methods.
What matters in a price negotiation: Evidence from the U.S. auto retailing industry
Quantitative Marketing and Economics · 2011-07-29 · 67 citations
articleSenior author
Recent grants
Collaborative Research: Incentive promotions in the US automotive industry
NSF · $152k · 2006–2012
Collaborative Research: Incentive promotions in the US automotive industry
NSF · $137k · 2012–2013
Frequent coauthors
- 44 shared
Meghan R. Busse
- 38 shared
Jorge Silva‐Risso
University of California, Riverside
- 24 shared
Fiona Scott Morton
Heinrich Heine University Düsseldorf
- 17 shared
Christopher R. Knittel
National Bureau of Economic Research
- 16 shared
Duncan Simester
- 16 shared
Fiona M. Scott Morton
Yale University
- 8 shared
Steven Tadelis
University of California, Berkeley
- 7 shared
Brett R. Gordon
Labs
Program on Data Analytics at KelloggPI
Awards & honors
- John D.C. Little Award for best marketing paper published in…
- John D.C. Little Award for best marketing paper published in…
- 2021 Sales SIG Excellence in Research Award, American Market…
- Finalist for L. G. Lavengood Outstanding Professor of the Ye…
- Finalist for L. G. Lavengood Outstanding Professor of the Ye…
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